Resources

Research & Publications

Brown, James M; Campbell, J Peter; Beers, Andrew; Chang, Ken; Ostmo, Susan; Chan, RV Paul; Dy, Jennifer; Erdogmus, Deniz; Ioannidis, Stratis; Kalpathy-Cramer, Jayashree. Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks. JAMA Ophthalmology. Volume 136-7, Page 803-810, 2018 American Medical Association.

https://jamanetwork.com/journals/jamaophthalmology/fullarticle/2680579

Gupta, Kishan; Campbell, J Peter; Taylor, Stanford; Brown, James M; Ostmo, Susan; Chan, RV Paul; Dy, Jennifer; Erdogmus, Deniz; Ioannidis, Stratis; Kalpathy-Cramer, Jayashree. A quantitative severity scale for retinopathy of prematurity using deep learning to monitor disease regression after treatment. JAMA Ophthalmology. Volume 137-9, Page 1029-1036. 2019 American Medical Association.

https://jamanetwork.com/journals/jamaophthalmology/fullarticle/2737218

Taylor, Stanford; Brown, James M; Gupta, Kishan; Campbell, J Peter; Ostmo, Susan; Chan, RV Paul; Dy, Jennifer; Erdogmus, Deniz; Ioannidis, Stratis; Kim, Sang J. Monitoring disease progression with a quantitative severity scale for retinopathy of prematurity using deep learning. JAMA Ophthalmology. Volume 137-9, Page 1022-1028. 2019 American Medical Association.

https://jamanetwork.com/journals/jamaophthalmology/fullarticle/2737217

Bellsmith, Kellyn N; Brown, James; Kim, Sang Jin; Goldstein, Isaac H; Coyner, Aaron; Ostmo, Susan; Gupta, Kishan; Chan, RV Paul; Kalpathy-Cramer, Jayashree; Chiang, Michael F. Aggressive posterior retinopathy of prematurity: clinical and quantitative imaging features in a large North American cohort. Ophthalmology. Volume 127-8, Page 1105-1112. 2020 Elsevier.

https://www.aaojournal.org/article/S0161-6420(20)30129-9/abstract

Greenwald, Miles F; Danford, Ian D; Shahrawat, Malika; Ostmo, Susan; Brown, James; Kalpathy-Cramer, Jayashree; Bradshaw, Kacy; Schelonka, Robert; Cohen, Howard S; Chan, RV Paul. Evaluation of artificial intelligence-based telemedicine screening for retinopathy of prematurity. Journal of American Association for Pediatric Ophthalmology and Strabismus. Volume 24-3, Page 160-162. 2020 Mosby.

https://www.jaapos.org/article/S1091-8531(20)30067-7/abstract

Choi, Rene Y; Brown, James M; Kalpathy-Cramer, Jayashree; Chan, RV Paul; Ostmo, Susan; Chiang, Michael F; Campbell, J Peter; Kim, Sang Jin; Sonmez, Kemal; Jonas, Karyn. Variability in plus disease identified using a deep learning-based retinopathy of prematurity severity scale. Ophthalmology Retina. Volume 4-10, Page 1016-1021. 2020 Elsevier.

https://www.sciencedirect.com/science/article/abs/pii/S2468653020301858?via%3Dihub

Campbell, J Peter; Kim, Sang Jin; Brown, James M; Ostmo, Susan; Chan, RV Paul; Kalpathy-Cramer, Jayashree; Chiang, Michael F; Sonmez, Kemal; Schelonka, Robert; Jonas, Karyn. Evaluation of a deep learning–derived quantitative retinopathy of prematurity severity scale. Ophthalmology. Volume 128-7, Page 1070-1076. 2021 Elsevier.

https://www.aaojournal.org/article/S0161-6420(20)31027-7/abstract

Campbell, J Peter; Singh, Praveer; Redd, Travis K; Brown, James M; Shah, Parag K; Subramanian, Prema; Rajan, Renu; Valikodath, Nita; Cole, Emily; Ostmo, Susan. Applications of artificial intelligence for retinopathy of prematurity screening. Pediatrics. Volume 147-3. 2021 American Academy of Pediatrics.

https://publications.aap.org/pediatrics/article/147/3/e2020016618/77080/Applications-of-Artificial-Intelligence-for

Morrison, Steven; Chan, RV Paul; Chiang, Michael F; Campbell, J Peter. Cost-Effectiveness of Artificial Intelligence-Based Retinopathy of Prematurity Screening. Investigative Ophthalmology & Visual Science. Volume 62-8, Page 3258-3258. 2021 The Association for Research in Vision and Ophthalmology.

https://jamanetwork.com/journals/jamaophthalmology/fullarticle/2790199

Coyner, Aaron S; Chen, Jimmy S; Singh, Praveer; Schelonka, Robert L; Jordan, Brian K; McEvoy, Cindy T; Anderson, Jamie E; Chan, RV; Sonmez, Kemal; Erdogmus, Deniz. Single-examination risk prediction of severe retinopathy of prematurity. Pediatrics. Volume 148-6. 2021 American Academy of Pediatrics.

https://publications.aap.org/pediatrics/article/148/6/e2021051772/183427/Single-Examination-Risk-Prediction-of-Severe?autologincheck=redirected

Campbell, J Peter; Chiang, Michael F; Chen, Jimmy S; Moshfeghi, Darius M; Nudleman, Eric; Ruambivoonsuk, Paisan; Cherwek, Hunter; Cheung, Carol Y; Singh, Praveer; Kalpathy-Cramer, Jayashree. Artificial intelligence for retinopathy of prematurity: validation of a vascular severity scale against international expert diagnosis. Ophthalmology. Volume 129-7, Page e69-e76. 2022 Elsevier. https://www.aaojournal.org/article/S0161-6420(22)00124-5/fulltext

Lemay, Andreanne; Hoebel, Katharina; Bridge, Christopher P; Befano, Brian; De Sanjosé, Silvia; Egemen, Didem; Rodriguez, Ana Cecilia; Schiffman, Mark; Campbell, John Peter; Kalpathy-Cramer, Jayashree. Improving the repeatability of deep learning models with Monte Carlo dropout. Npj Digital Medicine. Volume 5-1, Page 174. 2022 Nature Publishing Group UK London. https://www.nature.com/articles/s41746-022-00709-3

Cole, Emily; Valikodath, Nita G; Al-Khaled, Tala; Bajimaya, Sanyam; Sagun, KC; Chuluunbat, Tsengelmaa; Munkhuu, Bayalag; Jonas, Karyn E; Chuluunkhuu, Chimgee; MacKeen, Leslie D. Evaluation of an artificial intelligence system for retinopathy of prematurity screening in Nepal and Mongolia. Ophthalmology Science. Volume 2-4, Page 100-165. 2022 Elsevier. 

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754980/

Cole, Emily D; Park, Shin Hae; Kim, Sang Jin; Kang, Kai B; Valikodath, Nita G; Al-Khaled, Tala; Patel, Samir N; Jonas, Karyn E; Ostmo, Susan; Coyner, Aaron. Variability in plus disease diagnosis using single and serial images. Ophthalmology retina. Volume 6-12, Page 1122-1129. 2022 Elsevier.

https://www.sciencedirect.com/science/article/abs/pii/S246865302200269X?via%3Dihub

Coyner, Aaron S; Oh, Minn A; Shah, Parag K; Singh, Praveer; Ostmo, Susan; Valikodath, Nita G; Cole, Emily; Al-Khaled, Tala; Bajimaya, Sanyam; Sagun, KC. External validation of a retinopathy of prematurity screening model using artificial intelligence in 3 low-and middle-income populations. JAMA ophthalmology. Volume 140-8, Page 791-798. 2022 American Medical Association. https://jamanetwork.com/journals/jamaophthalmology/fullarticle/2794136

Eilts, Sonja K; Pfeil, Johanna M; Poschkamp, Broder; Krohne, Tim U; Eter, Nicole; Barth, Teresa; Guthoff, Rainer; Lagrèze, Wolf; Grundel, Milena; Bründer, Marie-Christine. Assessment of Retinopathy of Prematurity Regression and Reactivation Using an Artificial Intelligence–Based Vascular Severity Score. JAMA Network Open. Volume 6-1, Page e2251512-e2251512. 2023 American Medical Association. https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2800608

DeCampos-Stairiker, Mallory A; Coyner, Aaron S; Gupta, Aditi; Oh, Minn; Shah, Parag K; Subramanian, Prema; Venkatapathy, Narendran; Singh, Praveer; Kalpathy-Cramer, Jayashree; Chiang, Michael F. Epidemiologic evaluation of retinopathy of prematurity severity in a large telemedicine program in India using artificial intelligence. Ophthalmology. 2023 Elsevier. https://www.aaojournal.org/article/S0161-6420(23)00205-1/fulltext

International Classification of Retinopathy of Prematurity, Third Edition Chiang, Michael F. et al. Ophthalmology, Volume 128, Issue 10, e51 - e68 https://www.aaojournal.org/article/S0161-6420(21)00416-4/fulltext

Binenbaum G, Stahl A, Coyner AS, He J, Ying GS, Ostmo S, Chan RVP, Toth C, Vinekar A, Campbell JP; International Classification of Retinopathy of Prematurity Committee. P Score: A Reference Image-Based Clinical Grading Scale for Vascular Change in Retinopathy of Prematurity. Ophthalmology. 2024 

https://linkinghub.elsevier.com/retrieve/pii/S0161642024003142

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